Contrastive Learning

Contrastive Learning is a deep learning technique for unsupervised representation learning. The goal is to learn a representation of data such that similar instances are close together in the representation space, while dissimilar instances are far apart.

It has been shown to be effective in various computer vision and natural language processing tasks, including image retrieval, zero-shot learning, and cross-modal retrieval. In these tasks, the learned representations can be used as features for downstream tasks such as classification and clustering.

(Image credit: Schroff et al. 2015)

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4501–4525 of 6661 papers

Title	Date	Tasks	Status	Hype
RepsNet: Combining Vision with Language for Automated Medical Reports	Sep 27, 2022	Contrastive LearningDecoder	—Unverified	0
Regularized Contrastive Learning of Semantic Search	Sep 27, 2022	Contrastive LearningRetrieval	—Unverified	0
End-to-End Lyrics Recognition with Self-supervised Learning	Sep 26, 2022	Contrastive LearningDomain Generalization	—Unverified	0
Generalized Parametric Contrastive Learning	Sep 26, 2022	Contrastive LearningDomain Generalization	CodeCode Available	2
Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation	Sep 24, 2022	ClusteringContrastive Learning	—Unverified	0
Contrastive learning for unsupervised medical image clustering and reconstruction	Sep 24, 2022	ClusteringContrastive Learning	—Unverified	0
Whodunit? Learning to Contrast for Authorship Attribution	Sep 23, 2022	Authorship AttributionContrastive Learning	CodeCode Available	0
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation	Sep 23, 2022	Collaborative FilteringContrastive Learning	CodeCode Available	1
View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning	Sep 23, 2022	Action RecognitionContrastive Learning	—Unverified	0
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation	Sep 23, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1
AVT: Audio-Video Transformer for Multimodal Action Recognition	Sep 22, 2022	Action RecognitionAudio Classification	—Unverified	0
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding	Sep 22, 2022	Contrastive LearningVideo Grounding	CodeCode Available	1
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning	Sep 22, 2022	Contrastive LearningData Augmentation	—Unverified	0
Capsule Network based Contrastive Learning of Unsupervised Visual Representations	Sep 22, 2022	Contrastive Learningimage-classification	CodeCode Available	1
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning	Sep 22, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	0
Contrastive Learning for Time Series on Dynamic Graphs	Sep 21, 2022	Activity RecognitionAnomaly Detection	—Unverified	0
Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images	Sep 21, 2022	Contrastive LearningImage Augmentation	CodeCode Available	1
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach	Sep 21, 2022	Contrastive LearningFederated Learning	—Unverified	0
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator	Sep 21, 2022	Contrastive LearningVoice Conversion	—Unverified	0
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning	Sep 20, 2022	Contrastive LearningEEG	CodeCode Available	1
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning	Sep 20, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	0
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings	Sep 20, 2022	ClusteringContrastive Learning	CodeCode Available	1
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation	Sep 19, 2022	Contrastive LearningDecoder	—Unverified	0
Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction	Sep 19, 2022	Argument MiningContrastive Learning	—Unverified	0
S^3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification	Sep 19, 2022	Contrastive Learningimage-classification	—Unverified	0

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All datasets imagenet-1k 10,000 People - Human Pose Recognition Data CIFAR-10 STL-10

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ResNet50	ImageNet Top-1 Accuracy	73.6	—	Unverified
2	ResNet50	ImageNet Top-1 Accuracy	73	—	Unverified
3	ResNet50	ImageNet Top-1 Accuracy	71.1	—	Unverified
4	ResNet50	ImageNet Top-1 Accuracy	69.3	—	Unverified
5	ResNet50 (v2)	ImageNet Top-1 Accuracy	67.6	—	Unverified
6	ResNet50 (v2)	ImageNet Top-1 Accuracy	63.8	—	Unverified
7	ResNet50	ImageNet Top-1 Accuracy	63.6	—	Unverified
8	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
9	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
10	ResNet50 (4×)	ImageNet Top-1 Accuracy	61.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1	0..5sec	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	84.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	85.55	—	Unverified